841 Data Scientist jobs available for remote work from home. Apply for positions such as Full Stack Data Scientist, Sr Data Scientist - FDE - Security Check (SC) Clearance, Sr. Data Scientist II (Remote Eligible) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop end-to-end data-driven solutions by building robust data pipelines and designing predictive machine learning models. Integrate these models into scalable production environments and collaborate with cross-functional teams to drive business outcomes.
The role involves acquiring and preparing data sets to develop and scale operational AI models for strategic customers. You will also drive best practices for data integrity and contribute to thought leadership within the industry.
Design and deploy AI sub-agents and predictive models to drive growth, monetization, and retention across the customer lifecycle. Collaborate with Product and Engineering teams to build data foundations and evaluation harnesses for production-scale ML systems.
Own the full lifecycle of statistical and machine learning model development to drive business efficiency in credit risk, fraud, and marketing. Collaborate with cross-functional teams to translate business questions into data-driven solutions and present findings to leadership.
Own end-to-end pricing analytics and measurement, including the development of predictive models for elasticity and incrementality. Translate complex data into actionable insights and recommendations for senior leadership to influence pricing strategy.
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Collaborate with design leads to analyze healthcare data and build predictive models and AI tools for CMS initiatives. Create data visualizations and automated systems to improve price transparency and patient care outcomes.
The Data Scientist will develop and deploy data-driven approaches, including generative AI and machine learning, to solve complex policy questions for clients. Responsibilities include building data pipelines, conducting causal and predictive analyses, and communicating technical results to diverse stakeholders.
Design and implement AI and advanced analytics solutions to support cancer care delivery and automation in clinical and research domains. Collaborate with cross-functional teams to develop ML pipelines, AI agents, and validation frameworks for production deployment.
Develop and improve decision systems and predictive models to drive business impact and competitive advantage. Explore internal and external data sources to prototype solutions and recommend strategic changes through rigorous analysis.
Develop and improve predictive models and decision systems to drive business impact. Explore internal and external data sources to prototype solutions and recommend strategic changes through rigorous analysis.
Own the end-to-end development of forecasting tools and internal web applications for the CFO organization. Drive the adoption of AI capabilities by translating research into practical tools and advising executives on AI strategy.
Design and validate Agentic AI-driven product capabilities using LLMs and NLP to solve complex Intellectual Property workflows. Develop retrieval strategies, agentic reasoning, and evaluation metrics to translate experimental results into scalable customer solutions.
Design and validate Agentic AI-driven product capabilities using NLP and LLMs to solve complex Intellectual Property workflows. Develop retrieval strategies and establish best practices for model evaluation and benchmarking to drive product recommendations.
Design and validate Agentic AI-driven product capabilities using LLMs and NLP to solve complex Intellectual Property workflows. Develop retrieval strategies, agentic reasoning, and evaluation metrics to translate experimental results into scalable customer solutions.
Design and validate Agentic AI-driven capabilities for the Protégé assistant using LLMs and NLP. Develop retrieval strategies and agentic workflows to solve complex Intellectual Property tasks and translate results into product recommendations.
Lead the development and operationalization of sophisticated forecasting models to power Veho's Sales and Operations Planning process. Collaborate with cross-functional leaders to translate business challenges into scalable AI/ML solutions and mentor other data scientists.
The Data Scientist applies mathematical and statistical methodologies to evaluate and execute anti-trafficking and child-focused program strategies. Key duties include developing predictive models, maintaining impact measures, and improving data systems to maximize organizational effectiveness.
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The role focuses on improving customer acquisition, conversion, and retention through data-driven insights and statistical modeling. You will partner with Product, Engineering, and Marketing teams to optimize the customer funnel and inform product strategy.
Develop and automate robust Data Science and ML models, including GenAI solutions, to solve complex business problems. Translate analytical findings into actionable insights to drive value and improve key business metrics.
Design and maintain advanced RAG and LLM-driven capabilities to power virtual agents and knowledge systems. Architect scalable data pipelines and develop user-centric analytics dashboards to drive business decisions.
Own the full lifecycle of statistical and machine learning model development to drive business efficiency in credit risk, fraud, collections, and marketing. Collaborate with cross-functional teams and leadership to translate business questions into data-driven solutions and strategies.
Design and deploy scalable optimization frameworks and statistical models to ensure mathematical integrity for consumer analytics. Partner with Data Engineering to transition complex calculations into production-grade cloud compute architectures.
Design and deploy scalable optimization frameworks and statistical distribution models to ensure mathematical integrity for consumer analytics. Partner with Data Engineering to transition complex calculations into production-grade cloud compute architectures and standardized libraries.
Develop and maintain analytical frameworks to model energy costs and utility tariffs across a large DC fast charging network. Partner with cross-functional teams to optimize network economics and translate data insights into strategic business recommendations.
The role involves analyzing data to solve business problems, diagnosing problem areas, and designing experiments to influence decision-making. The focus is on driving the growth, engagement, and retention of the Wolt+ premium subscription program.
Develop end-to-end data science solutions for business challenges such as customer propensity and product forecasting. Collaborate with engineering and ML Ops teams to operationalize models and implement monitoring for data drift and performance degradation.
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The role involves analyzing project and trial data using SAS and R to develop reusable programs and data visualizations. Responsibilities include the specification, creation, and validation of CDISC analysis datasets to support clinical development phases.
Design and implement advanced analytical solutions and machine learning models to solve complex business challenges. Collaborate with engineering and product teams to integrate data-driven strategies and mentor junior data scientists.
The role involves researching multifamily datasets to design data-driven product features for institutional investors. It requires translating real estate acquisitions workflows into scalable AI-powered tools and acting as a subject matter expert on market intelligence.
Design and deliver end-to-end advanced analytics solutions, including churn prediction and customer lifetime value models, to support decision-making. Translate complex data outputs into actionable recommendations through storytelling and visualization for diverse stakeholders.
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